JOURNAL ARTICLE

EVALUATION OF DIFFERENT QUERY EXPANSION TECHNIQUES FOR ARABIC TEXT RETRIEVAL SYSTEM

Aysh Alhroob

Year: 2013 Journal:   American Journal of Applied Sciences Vol: 10 (9)Pages: 1018-1024   Publisher: Science Publications

Abstract

The word mismatch problem is fundamental to Information retrieval. Query expansion process helps to overcome this problem. Based on the Arabic corpuses, the comparisons between two query expansion techniques (global and local query) have been conducted to determine the query effectiveness. First one represents the local context analysis which represents a local method, while a global method was the second technique that has been represented by the Association and similarity thesauruses. These techniques can be used in any special field or domain to improve the expansion process and to get more relevant documents for the user’s query. This study introduces a comparison between these approaches and shows their effectiveness. Although, local context analysis has some advantages over the similarity thesaurus, Association thesaurus which is global is generally the most effective one.

Keywords:
Query expansion Information retrieval Computer science Context (archaeology) Query optimization Thesaurus Process (computing) Web search query Similarity (geometry) Query language Arabic Web query classification Field (mathematics) Data mining Natural language processing Artificial intelligence Search engine Mathematics

Metrics

4
Cited By
2.45
FWCI (Field Weighted Citation Impact)
21
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Information Retrieval and Search Behavior
Physical Sciences →  Computer Science →  Information Systems
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Text and Document Classification Technologies
Physical Sciences →  Computer Science →  Artificial Intelligence

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